Finds the Fisher-Pearson coefficient of skewness
for raster or matrix values (Ssk). Skewness represents the
asymmetry of the surface height distribution.
Height is measured as the value of a raster/matrix and
may not necessarily represent actual height.

Methods for calculating gradient surface metrics for
continuous analysis of landscape features.

Annie Smith

geodiv

Methods for Calculating Gradient Surface Metrics

ssk function

<dl><dt>x</dt>
<dd>A raster or matrix.</dd>
<dt>adj</dt>
<dd>Logical, defaults to <code>TRUE</code>. If <code>TRUE</code>,
the adjusted Fisher-Pearson coefficient of skewness
is calculated. Otherwise, the standard coefficient is
calculated.</dd></dl>

Arguments

Calculates the Skewness of Raster Values — ssk

<dl>

<dt>x</dt>
<dd>A raster or matrix.</dd>


<dt>adj</dt>
<dd>Logical, defaults to <code>TRUE</code>. If <code>TRUE</code>,
the adjusted Fisher-Pearson coefficient of skewness
is calculated. Otherwise, the standard coefficient is
calculated.</dd>

</dl>

ssk: Calculates the Skewness of Raster Values

Description

Usage

Value

Arguments